标签:二进制 null cat port ack aci username 分表 数据库
Sharding-Proxy定位为透明化的数据库代理端,提供封装了数据库二进制协议的服务端版本,用于完成对异构语言的支持。 目前先提供MySQL/PostgreSQL版本,它可以使用任何兼容MySQL/PostgreSQL协议的访问客户端。本文主要介绍Sharding-Proxy的基本使用,文中使用到的软件版本:sharding-proxy 4.1.1、MySQL 5.7.26、Java 1.8.0_191。
https://shardingsphere.apache.org/document/current/cn/downloads/
tar zxvf apache-shardingsphere-4.1.1-sharding-proxy-bin.tar.gz
conf/server.yaml
authentication:
users:
root:
password: root
sharding:
password: sharding
authorizedSchemas: sharding_db,master_slave_db
props:
max.connections.size.per.query: 1
acceptor.size: 16 # The default value is available processors count * 2.
executor.size: 16 # Infinite by default.
proxy.frontend.flush.threshold: 128 # The default value is 128.
# LOCAL: Proxy will run with LOCAL transaction.
# XA: Proxy will run with XA transaction.
# BASE: Proxy will run with B.A.S.E transaction.
proxy.transaction.type: LOCAL
proxy.opentracing.enabled: false
proxy.hint.enabled: false
query.with.cipher.column: true
sql.show: true
allow.range.query.with.inline.sharding: false
conf/config-sharding.yaml
schemaName: sharding_db
dataSources:
ds0:
url: jdbc:mysql://10.49.196.10:3306/itest
username: admin
password: Root_123!
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 50
ds1:
url: jdbc:mysql://10.49.196.20:3306/itest
username: admin
password: Root_123!
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 50
shardingRule:
tables:
t_user: #逻辑表名,在一个库里分表:ds0.t_user_0,ds0.t_user_1
actualDataNodes: ds0.t_user_$->{0..1}
tableStrategy: #表分片策略
inline: #行表达式分片策略
shardingColumn: user_id #分片的字段
algorithmExpression: t_user_$->{user_id % 2} #分片的算法
t_dept: #分库,两个库里建系统的表:ds0.t_dept,ds1.t_dept
actualDataNodes: ds$->{0..1}.t_dept
databaseStrategy: #数据库分片策略
inline: #行表达式分片策略
shardingColumn: dept_id #分片的字段
algorithmExpression: ds$->{dept_id % 2} #分片的算法
conf/config-master_slave.yaml
schemaName: master_slave_db
dataSources:
master:
url: jdbc:mysql://10.49.196.10:3306/itest
username: admin
password: Root_123!
slave0:
url: jdbc:mysql://10.49.196.20:3306/itest
username: admin
password: Root_123!
masterSlaveRule:
name: ds_ms
masterDataSourceName: master
slaveDataSourceNames:
- slave0
package com.inspur.demo.shardingsphere; import com.inspur.demo.shardingsphere.util.JdbcUtil; import org.apache.shardingsphere.api.hint.HintManager; import org.junit.After; import org.junit.Before; import org.junit.Test; import org.junit.runner.RunWith; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.boot.test.context.SpringBootTest; import org.springframework.test.context.junit4.SpringRunner; import javax.annotation.Resource; import javax.sql.DataSource; import java.sql.Connection; import java.sql.DriverManager; import java.sql.ResultSet; import java.sql.Statement; public class ShardingProxyCase { private static Logger logger = LoggerFactory.getLogger(ShardingProxyCase.class); /** * 数据分片 * t_user在同一个库里分表(t_user_0,t_user_1) * t_dept分库 */ @Test public void fragmentation() { Connection con = null; try { Class.forName("com.mysql.cj.jdbc.Driver"); con = DriverManager.getConnection("jdbc:mysql://10.49.196.10:3307/sharding_db", "sharding", "sharding"); con.setAutoCommit(false); Statement st = con.createStatement(); //插入ds0.t_user_0表 st.executeUpdate("insert into t_user(user_id,user_name,age) values(110,‘赵云2‘, 30)"); //插入ds0.t_user_1表 st.executeUpdate("insert into t_user(user_id,user_name,age) values(111,‘张飞2‘, 31)"); //插入ds0.t_dept表 st.executeUpdate("insert into t_dept(dept_id,dept_name) values(110,‘dept10-2‘)"); //插入ds1.t_dept表 st.executeUpdate("insert into t_dept(dept_id,dept_name) values(111,‘dept11-2‘)"); ResultSet rs = st.executeQuery("select user_id,user_name from t_user where user_id in(110,111)"); while (rs.next()) { logger.info("user_id={},user_name={}", rs.getString("user_id"), rs.getString("user_name")); } rs = st.executeQuery("select dept_id,dept_name from t_dept where dept_id in(110,111)"); while (rs.next()) { logger.info("dept_id={},dept_name={}", rs.getString("dept_id"), rs.getString("dept_name")); } con.commit(); } catch (Exception e) { JdbcUtil.rollback(con); e.printStackTrace(); } finally { JdbcUtil.close(con); } } /** * 读写分离,主库写,从库读 * 同一线程且同一数据库连接内,如有写入操作,以后的读操作均从主库读取,用于保证数据一致性 */ @Test public void readWrite() { Connection con = null; try { Class.forName("com.mysql.cj.jdbc.Driver"); con = DriverManager.getConnection("jdbc:mysql://10.49.196.10:3307/master_slave_db", "sharding", "sharding"); Statement st = con.createStatement(); //从slave0读数据 ResultSet rs = st.executeQuery("select * from t_student"); while (rs.next()) { System.out.println(rs.getString("id") + "|" + rs.getString("name")); } //写入master st.executeUpdate("insert into t_student(id,name) values(600,‘测试‘)"); //这边应该从master读数据,但是还是从slave0读取数据,可能是ShardingProxy的bug rs = st.executeQuery("select * from t_student"); while (rs.next()) { System.out.println(rs.getString(1) + "|" + rs.getString(2)); } } catch (Exception e) { e.printStackTrace(); } finally { JdbcUtil.close(con); } } }
数据分配和读写分离访问了不同schema;在读写分离的例子中第二次查询应从master读数据,但是还是从slave0读取数据,不知是我配置错了还是ShardingProxy的bug,知道的同学告诉下哈。
ShardingSphere入门实战(2)-Sharding-Proxy使用
标签:二进制 null cat port ack aci username 分表 数据库
原文地址:https://www.cnblogs.com/wuyongyin/p/13415319.html